Dimension of a Set of Transformations

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Discussion Overview

The discussion revolves around the dimension of the set of all linear transformations from a p-dimensional vector space Z to itself. Participants explore the properties of this set, the representation of linear mappings by matrices, and the implications for the basis of the transformation space.

Discussion Character

  • Technical explanation, Conceptual clarification, Debate/contested

Main Points Raised

  • One participant questions the dimension of the set R of linear transformations and seeks to understand the properties of its basis.
  • Another participant suggests that linear mappings can be represented by matrices and prompts discussion about the dimension of the space of these matrices.
  • It is noted that each matrix is p x p, leading to the conclusion that the dimension of the space of matrices is p-squared, although the nature of the basis matrices is debated.
  • A participant raises a concern about whether all matrices in the p-squared dimensional basis represent linear transformations, citing a specific example.
  • Another participant asserts that every matrix represents a linear function and emphasizes the importance of matrices in this context.
  • A question is posed regarding the existence of a linear transformation that maps every vector in a vector space to zero, which is confirmed as a valid linear transformation.
  • Finally, there is a confirmation that the dimension of the transformation space is indeed p-squared.

Areas of Agreement / Disagreement

While there is agreement on the dimension being p-squared, there is disagreement regarding the nature of certain matrices and their representation of linear transformations. The discussion remains unresolved on the specific properties of the basis matrices.

Contextual Notes

Participants express uncertainty about the assumptions regarding the linearity of certain matrices and the implications of specific examples on the general understanding of the transformation space.

jsgoodfella
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If we consider the set R of all linear transformations from an p-dimensional vector space Z to Z (T:Z -> Z), what do we know about the dimension of the set R?

In other words, what do we know about any basis for R? What are its properties?
 
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Hint: those linear mappings can be represented by matrices. What's the dimension of this space of matrices?
 
micromass said:
Hint: those linear mappings can be represented by matrices. What's the dimension of this space of matrices?

Well, we know that each matrix is pxp, because Z is p-dimensional. The dimension of this space of matrices is p-squared (for instance there are 4 basis matrices for the 2x2 case).
But how can we know that each matrix in the p^2 dimensional basis is a linear matrix?
 
jsgoodfella said:
But how can we know that each matrix in the p^2 dimensional basis is a linear matrix?

Huh, what do you mean?? Every matrix is linear.
 
Thanks for staying with me!

micromass said:
Huh, what do you mean?? Every matrix is linear.


I'm thinking of the general basis for p^2 - If p is two, then [{0,1};{0,0}] could be a matrix in the basis which doesn't represent a linear transformation. Do we just assume they are all linear?

On another note, is there a linear transformation that maps every vector in a vector space to zero?
 
jsgoodfella said:
I'm thinking of the general basis for p^2 - If p is two, then [{0,1};{0,0}] could be a matrix in the basis which doesn't represent a linear transformation. Do we just assume they are all linear?

It does represent a linear function, namely f(x,y)=(y,0). Every matrix represents a linear function, that's why matrices are so important.

On another note, is there a linear transformation that maps every vector in a vector space to zero?

Yep, that is a linear transformation. It's the analog of the zero matrix.
 
Thanks for your help!

Just to make sure, the dimension is p-squared, right?
 
Right!
 

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